Alpha Tau Medical (DRTS) Net Cash Flow (2021 - 2022)
Alpha Tau Medical (DRTS) recorded Net Cash Flow of -$1.5 million in the year ended Dec 31, 2025, compared with $1.01 million a year earlier.
Analysis
Alpha Tau Medical (DRTS) Net Cash Flow (2021 - 2022) Analysis & Trends
Starting with the year ended Dec 31, 2019, Alpha Tau Medical's Net Cash Flow history includes 7 years.
- The figure for the year ended Dec 31, 2025 is the lowest annual Net Cash Flow since the year ended Dec 31, 2022.
- Per Business Quant data, DRTS's Net Cash Flow was $1.01 million in the year ended Dec 31, 2024 (-83.2%), $6.02 million in the year ended Dec 31, 2023, -$16.91 million in the year ended Dec 31, 2022 and $7.57 million in the year ended Dec 31, 2021 (-46.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 718.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | -1.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | -1.34 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 746.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | -169.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 527.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | -892.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 458.40 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | -42.00 Mn |
| 10 | Alpha Tau Medical | 1.34 Bn | 1.23 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | -86.31 Mn |
| Mar 31, 2022 | 75.10 Mn |
| Mar 31, 2021 | -3.74 Mn |
API Access
Alpha Tau Medical Net Cash Flow API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=net-cash-flow&ticker=DRTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "ticker": "DRTS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-cash-flow&ticker=DRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();